From our results we see that, even with no motion, L1-wavelet based reconstruction methods hit a performance limit at high 2D acceleration factors, in agreement with previously reported literature [1]}, [2]}, [3]}. In contrast, our method, which was blind to the motion, is able to both estimate the motion trajectories while also reconstructing a sub-sampled image with high fidelity (Fig. REF ). Although the performance of score models in the presence of corrupted forward operators has not been displayed previously, we showed that by viewing the inference procedure as posterior sampling jointly over the image and motion parameters we can achieve high fidelity motion correction at large acceleration rates for retrospectively corrupted data.
